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20152022
most citedTLIO: Tight Learned Inertial Odometry

225 citations · 580 across the 19 of their papers we have counts for

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6 papers · 1 filter

cs.RO202326 cited

EV-Catcher: High-Speed Object Catching Using Low-latency Event-based Neural Networks

Ziyun Wang, Fernando Cladera Ojeda, Anthony Bisulco +6

Event-based sensors have recently drawn increasing interest in robotic perception due to their lower latency, higher dynamic range, and lower bandwidth requirements compared to sta…

cs.RO2020225 cited

TLIO: Tight Learned Inertial Odometry

Wenxin Liu, David Caruso, Eddy Ilg +5

In this work we propose a tightly-coupled Extended Kalman Filter framework for IMU-only state estimation. Strap-down IMU measurements provide relative state estimates based on IMU…

cs.RO2020

An Adversarial Objective for Scalable Exploration

Bernadette Bucher, Karl Schmeckpeper, Nikolai Matni +1

Model-based curiosity combines active learning approaches to optimal sampling with the information gain based incentives for exploration presented in the curiosity literature. Exis…

cs.RO201913 cited

TagSLAM: Robust SLAM with Fiducial Markers

Bernd Pfrommer, Kostas Daniilidis

TagSLAM provides a convenient, flexible, and robust way of performing Simultaneous Localization and Mapping (SLAM) with AprilTag fiducial markers. By leveraging a few simple abstra…

cs.RO2018

The Multi Vehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception

Alex Zihao Zhu, Dinesh Thakur, Tolga Ozaslan +3

Event based cameras are a new passive sensing modality with a number of benefits over traditional cameras, including extremely low latency, asynchronous data acquisition, high dyna…

cs.RO2017202 cited

Fast, Autonomous Flight in GPS-Denied and Cluttered Environments

Kartik Mohta, Michael Watterson, Yash Mulgaonkar +14

One of the most challenging tasks for a flying robot is to autonomously navigate between target locations quickly and reliably while avoiding obstacles in its path, and with little…